Psychoacoustic analysis helps product developers to understand how sound impacts user perception.
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Key metrics like pitch, loudness, and timbre shape our perception of quality, comfort, and usability in everyday products. By analyzing these metrics, product developers can gain valuable insights to enhance sound quality and user experience. Incorporating psychoacoustic analysis helps create sounds that feel more intuitive, engaging, and aligned with user expectations.
STEP 1
Start by using the Measure workflow in the Sorama Portal. Create a setup with the product to be evaluated and the Sorama device. Before starting the measurement, ensure the distance between the product and the Sorama device is equivalent to the distance between the product and the person’s ear during normal usage.
STEP 2
With the measurement(s) ready, proceed to the Analyze workflow. Select the measurements from the measurement list and choose the Psychoacoustic analysis.
STEP 3
The spider web graph provides an overview of how the measurements relate to different psychoacoustic metrics, offering insights on how to proceed with the analysis.
STEP 4
There are five psychoacoustic metrics available in the Sorama Portal: loudness, roughness, sharpness, fluctuation strength, and tonality. These metrics can be used to understand how people perceive a product based on the selected metric, utilizing time, critical bands spectrum, or critical bands spectrogram analysis.
Sorama CAM64 and Sorama CAM1K in combination with Sorama Portal offers unmatched insights for product designers and engineers seeking to design products with acoustics in mind from the start. These tools are ideal for solving sound issues, targeted noise reduction, and enhancing sound quality.
Read our blog that dives into the science behind sound perception, its impact on consumer preferences, and how businesses can use it to enhance product design. Discover how listening tests, psychoacoustic metrics, and advanced techniques like beamforming help companies refine product sounds for a better user experience.
Loudness measures how the human ear perceives the intensity of a sound. In real-life scenarios, loudness ensures that products like home appliances, vehicles, and consumer electronics operate at comfortable sound levels. For instance, reducing the loudness of a vacuum cleaner can make it more user-friendly and less intrusive in a household setting.
Roughness quantifies the rapid fluctuations in a sound signal, which can make a sound feel harsh or grating. This metric is important in designing products where a smooth and pleasant sound is desired, such as in electric vehicles or audio equipment. By optimizing roughness, manufacturers can enhance the auditory comfort of their products, making them more appealing to users.
Sharpness refers to the high-frequency content of a sound, which can make it feel piercing or shrill. This metric is particularly relevant in environments where high-frequency noises can be distracting or uncomfortable, such as in office equipment or medical devices. Adressing sharpness can lead to a more pleasant and less fatiguing auditory experience for users.
Fluctuation strength measures the slow amplitude modulations in a sound, which can affect its perceived steadiness. This metric is useful in applications where a stable and consistent sound is preferred, such as in HVAC systems or industrial machinery. By controlling fluctuation strength, manufacturers can create products that produce a more constant and less annoying sound.
Tonality assesses the presence of tonal components in a sound, which can make it more harmonic. This metric is important in designing products like musical instruments, audio playback devices, and even alarms. Ensuring the right balance of tonality enhances the overall sound quality and user satisfaction.
Time analysis tracks changes in psychoacoustic metrics over time, helping identify transient sounds or variations in sound quality.
In automotive applications, it detects sudden noises during acceleration or braking, improving driving experience.
This method breaks sound into frequency bands to assess how different frequencies shape perception.
In consumer electronics, it helps optimize speaker and headphone output for balanced, high-quality audio.
This method combines time and frequency analysis, this providing a detailed sound profile.
In home appliances, it enhances the sound quality of devices like washing machines and dishwashers, ensuring quieter operation.
Every challenge is unique, and we’re here to help. Whether you’re looking for expert advice or tailored acoustic solutions, our team is ready to discuss your needs.
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